Senior MLOps Lead: Scalable GPU Infra & Reproducible AI

Futuris Recruitment Ltd; Stockholms kommun; On-site; SEK 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Stock option plan

Job summary

Futuris Recruitment Ltd in Stockholm is seeking a senior ML infrastructure engineer to own the training infrastructure spanning on-prem GPUs and cloud capacity on AWS. You will scale the existing setup so ML engineers can focus on models rather than machines.

You will ensure end-to-end reproducibility, manage GPU environments, and keep costs sensible while protecting customer data. The role requires 5+ years of ML infra experience and fluent English, onsite in Stockholm.

Qualifications

• 5+ years building and operating ML infrastructure.
• Experience with GPUs, driver/CUDA issues and cloud capacity management.
• IaC with Terraform and Terragrunt; strong AWS skills.
• Data locking and experiment reproducibility are critical.
• Fluent English; on-site Stockholm.

Responsibilities

• Scale training infrastructure across on-prem GPUs and AWS cloud.
• Ensure end-to-end reproducibility of datasets, experiments and models.
• Support GPU environments that pause, resume and stay ready across machines.
• Control GPU spend and ensure data security.
• Collaborate directly with ML engineers to remove blockers.

Skills

ML infra

GPU handling

AWS

Terraform

Terragrunt

Data security

Reproducibility

English fluency

Tools

Terragrunt

CUDA drivers

Job description

Futuris Recruitment Ltd in Stockholm is seeking a senior ML infrastructure engineer to own the training infrastructure spanning on-prem GPUs and cloud capacity on AWS. You will scale the existing setup so ML engineers can focus on models rather than machines.

You will ensure end-to-end reproducibility, manage GPU environments, and keep costs sensible while protecting customer data. The role requires 5+ years of ML infra experience and fluent English, onsite in Stockholm.